Optimal Models and Methods with Fuzzy Quantities

The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric P...

Full description

Bibliographic Details
Main Author: Cao, Bing-Yuan. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Fuzziness and Soft Computing, 248
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-10712-2
LEADER 02939nam a22004695i 4500
001 10291
003 DE-He213
005 20130725195431.0
007 cr nn 008mamaa
008 100310s2010 gw | s |||| 0|eng d
020 # # |a 9783642107122  |9 978-3-642-10712-2 
024 7 # |a 10.1007/978-3-642-10712-2  |2 doi 
050 # 4 |a TA329-348 
050 # 4 |a TA640-643 
072 # 7 |a TBJ  |2 bicssc 
072 # 7 |a MAT003000  |2 bisacsh 
082 0 4 |a 519  |2 23 
100 1 # |a Cao, Bing-Yuan.  |e author. 
245 1 0 |a Optimal Models and Methods with Fuzzy Quantities  |c by Bing-Yuan Cao.  |h [electronic resource] / 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 # # |a 350p. 26 illus.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Studies in Fuzziness and Soft Computing,  |v 248  |x 1434-9922 ; 
505 0 # |a Prepare Knowledge -- Regression and Self-regression Models with Fuzzy Coefficients -- Regression and Self-regression Models with Fuzzy Variables -- Fuzzy Input/output Model.-Fuzzy Cluster Analysis and Fuzzy Recognition -- Fuzzy Linear Programming -- Fuzzy Geometric Programming -- Fuzzy Relative Equation and Its Optimizing -- Interval and Fuzzy Differential Equations -- Interval and Fuzzy Functional and Their Variation. 
520 # # |a The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation. It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science. 
650 # 0 |a Engineering. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Engineering mathematics. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642107108 
830 # 0 |a Studies in Fuzziness and Soft Computing,  |v 248  |x 1434-9922 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-10712-2 
912 # # |a ZDB-2-ENG 
950 # # |a Engineering (Springer-11647)